SOLUTION OF SOCIAL PROBLEMS IN
MANAGEMENT AND ECONOMY
International scientific-online conference
87
DEVELOPMENT OF THE EDUCATION SYSTEM USING EMPIRICAL
MODELING
Khudoyorov Laziz Niyozovich
Associate Professor of the University of Economics and Pedagogy.
Poshokulova Mohikul Kakhramonovna
Teacher of the International Innovation University.
https://doi.org/10.5281/zenodo.14725780
Abstract.
The issue of empirical modeling of the development of the
preschool and school education system is becoming increasingly important in
improving the education sector today. Empirical models allow for a systematic
study of the strengths and weaknesses of an education system, which can help
improve the effectiveness of reforms. Modeling helps make decisions in
education policy based on statistical and empirical data.
Keywords:
empirical, model, modeling, knowledge economy.
The quality of education is one of the important factors determining the
international competitiveness of countries. Empirical modeling creates an
analytical framework for adapting the education system to global requirements.
To rationally use existing resources in preschool and school education, it is
important to analyze the material and technical base and human resources
through empirical models. Curriculums, pedagogical methods, and educational
infrastructure are improved through a data-driven approach. It is important to
use empirical modeling to identify and develop the specific needs of the
education system in each region.
Empirical models are also effective in assessing the effectiveness of reforms
or projects introduced by the state into the education system. This principle
allows us to accurately measure the results of reforms and determine how
successfully they have been implemented.
Empirical and econometric methods explain the existence of different
doctrines and views on the essence of the knowledge economy. One of these
views is scientific knowledge based on the achievements of science and
technology, which is fundamentally different from ordinary everyday
knowledge, absentee knowledge, and others.
Figure 1.
The application of empirical modeling in the preschool and school
education system includes the following:
SOLUTION OF SOCIAL PROBLEMS IN
MANAGEMENT AND ECONOMY
International scientific-online conference
88
Empirical and econometric methods explain the existence of different
doctrines and views on the essence of the knowledge economy. One of these
views is scientific knowledge based on the achievements of science and
technology, which is fundamentally different from ordinary everyday
knowledge, absentee knowledge, and others.
The empirical methods of knowledge economics, the joint study of all
aspects of the economy in their interrelations and connections, protect it from
errors and one-sided views. Certain systems of knowledge created as a result of
empirical knowledge create economic processes. Therefore, economics has
scientific systems of nature, society and human thought.
We believe that empirical modeling allows us to make decisions based on
real data in the education system. For example, by analyzing the activities of
students and teachers, the effectiveness of lessons, or the mastery indicators
across classes, specific decisions are developed to improve the effectiveness of
the educational process.
Neural network algorithms are suitable for complex analysis and
predictions in the education system. For example, for in-depth analysis of
students' knowledge acquisition levels.
Application of empirical modeling
-developing programs that are tailored to the interests and abilities of
students while optimizing curricula;
-modeling the effectiveness of teachers' pedagogical methods in
assessing pedagogical effectiveness;
-develop models for decision-making on the number and location of
educational institutions, taking into account demographic trends;
-determining the impact of the education system on the economic
development of the country when assessing the socio-economic
impact of education.
SOLUTION OF SOCIAL PROBLEMS IN
MANAGEMENT AND ECONOMY
International scientific-online conference
89
-connect the network with variables between students and outcomes;
-distribution of the branch and calculation of errors;
-to update network parameters and minimize errors.
These algorithms play an important role in implementing the principles of
empirical modeling in the preschool and school education system. Each
algorithm has its own special characteristics and serves to analyze various
processes in the education system and increase efficiency.
The principles of empirical modeling of the preschool and school education
system can be expressed using several key variables and equations.
The model for assessing student learning outcomes assumes that student
learning outcomes depend on variables such as average learning rate (
𝑂
),
educational resources (
𝑅
), teacher quality (
𝑆
), class size (
𝑁
), and student
motivation (
𝑀
).
O=f(R,S,N,M)
In conclusion, the principles of empirical modeling of preschool and school
education systems play an important role in improving the quality of education,
effectively allocating resources, and making learning processes more effective.
Therefore, today the need to apply the principles of empirical modeling in
preschool and school education is becoming increasingly urgent.
References:
1. Петти У. Экономические и статистические работы. Т. I-II. Перевод под
ред. Смит М.Н. Москва: Государственное социально-экономическое
издательство, 1940. -с.. 323;
2. Рикардо Д. Начало политической экономии и налогообложения. - М.:
Эксмо, 2016. 1040-стр.; Смит А. Исследование о природе и причинах
богатства народов. – М.: Эксмо, 2016. -с. 255.
3. Вальрас Л. Элементы чистой политической экономии. - М.: Изограф,
2000. -с. 448 (Éléments d’économie politique pure, 1874); Clark J.M. Preface to
Social Economics. - New York: Farrar & Rinehart. Р. 193; Милль.Дж.С. Система
логики. т.т. 1-2. -М., 1914. -с.880; Рошер У. «Система помощи бедным и
политика борьбы с бедностью» (System der Armenpflege und Armenpolitik,
1894. -р. 345).
4. Bell D. Notes on the Post-Industrial Society // The Public Interest. - 1967. №7;
5. Гэлбрейт, Дж. К. Новое индустриальное общество // The New Industrial
State (1967). 2004. -с. 608. ISBN 5-17-024777-X;
Гэлбрейт, Дж. К. Новое индустриальное общество // The New Industrial
State (1967). 2004. -с. 608. ISBN 5-17-024777-X;
SOLUTION OF SOCIAL PROBLEMS IN
MANAGEMENT AND ECONOMY
International scientific-online conference
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6. Balaji P. The transformation and structure of the high technology industrial
complex. California: University of California, 1999;
7. Dretske Fred I. Knowledge and the flow of information. // Stanford: CSLI
publ., Cop. 1999.
8. Тоффлер, Э. Третья волна. The Third Wave, 1980. - М.: АСТ, 2010. -с. 784.
(Philosophy). 5100 экз. ISBN 978-5-403-02493-8;
